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Model performance

ROC curve

  • Shows how well the model separates leavers vs stayers over all cut-offs.
  • AUC close to 1.0 is great; ~0.65–0.75 is common for HR attrition.
  • Use it to pick reasonable thresholds, not to claim perfection.

Lift by decile

  • Ranks employees by risk, splits into 10 equal buckets.
  • Lift > 2 in the top decile means the model is >2x more likely to flag a leaver than random → excellent for targeting.
  • This model is approximately 3x more likely to flag a leaver than random in the top decile.